mmd_vae.py 文件源码

def conv2d_lrelu(inputs, num_outputs, kernel_size, stride):
    conv = tf.contrib.layers.convolution2d(inputs, num_outputs, kernel_size, stride,
                                           weights_initializer=tf.contrib.layers.xavier_initializer(),
                                           activation_fn=tf.identity)
    conv = lrelu(conv)
    return conv